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Python代码 from mpl_toolkits.mplot3d import Axes3D import numpy as np import matplotlib.pyplot as plt # ============= warmUpExercise ==================== def warmUpExercise(D): # Part 1 print(n...

Python代码 import numpy as np import matplotlib.pyplot as plt def featureNormalize(X): X_norm = X mu = np.zeros((1, X.shape[1])) sigma = np.zeros((1, X.shape[1])) mu = np.mean(X, axi...

代码： # Machine Learning Online Class - Exercise 2: Logistic Regression import numpy as np import matplotlib.pyplot as plt import scipy.optimize as op def sigmoid(x): return 1 / (1 + np.exp(-x))...

代码 import numpy as np import matplotlib.pyplot as plt import scipy.optimize as op def plotData(X, y): index0 = list() index1 = list() j = 0 for i in y: if i == 0: ...

代码 import numpy as np from scipy.io import loadmat import matplotlib.pyplot as plt import scipy.optimize as op import math from scipy import optimize def displayData(X, *example_width): if exa...

代码 import numpy as np import matplotlib.pyplot as plt from scipy.io import loadmat import math def displayData(X, *example_width): if example_width == (): example_width = round(np.sqrt...

代码 import numpy as np import matplotlib.pyplot as plt from scipy.io import loadmat import math import scipy.optimize as op def displayData(X, *example_width): if example_width == (): exa...